Literaturnachweis - Detailanzeige
| Autor/inn/en | Tavakoli Taba, Seyedamir; Hossain, Liaquat; Reay Atkinson, Simon; Lewis, Sarah |
|---|---|
| Titel | Towards understanding longitudinal collaboration networks: a case of mammography performance research. |
| Quelle | In: Scientometrics, (2015) 2, S.531-544
PDF als Volltext |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 0138-9130 |
| DOI | 10.1007/s11192-015-1560-3 |
| Schlagwörter | Research collaboration network; Mammography performance; Social network analysis; Longitudinal data; Influential actors |
| Abstract | Abstract In this paper, we explore the longitudinal research collaboration network of ‘mammography performance’ over 30 years by creating and analysing a large collaboration network data using Scopus. The study of social networks using longitudinal data may provide new insights into how this collaborative research evolve over time as well as what type of actors influence the whole network in time. The methods and findings presented in this work aim to assist identifying key actors in other research collaboration networks. In doing so, we apply a rank aggregation technique to centrality measures in order to derive a single ranking of influential actors. We argue that there is a strong correlation between the level of degree and closeness centralities of an actor and its influence in the research collaboration network (at macro/country level). |
| Erfasst von | OLC |
| Update | 2023/2/05 |
Literaturbeschaffung und Bestandsnachweise in Bibliotheken prüfen
Permalink als QR-Code
Inhalt auf sozialen Plattformen teilen (nur vorhanden, wenn Javascript eingeschaltet ist)
Teile diese Seite:
